This handbook gives comprehensive coverage of all kinds of industrial control systems to help engineers and researchers correctly and efficiently implement their projects.AUDIENCEManufacturing sector including automobiles, aircraft, ships, satellites, robots and intelligent controllers such as copiers and printers. Large scale infrastructure systems such as state-wide power grids, traffic control networks, water supply systems and environmental monitoring systems. Processing factories and plants that implement chemical processing, petroleum processing, waste water and materials processing. Production sectors such as coal wells, iron and steel foundries; crude oil and natural gas fields. Researchers and postgraduates in academia working in automation, robotics, controllers, computer control, industrial process control, real-time control, distributed control, and embedded control.DESCRIPTIONThis handbook gives comprehensive coverage of all kinds of industrial control systems to help engineers and researchers correctly and efficiently implement their projects. It is an indispensable guide and references for anyone involved in control, automation, computer networks and robotics in industry and academia alike.

Whether you are part of the manufacturing sector, large-scale infrastructure systems, or processing technologies, this book is the key to learning and implementing real time and distributed control applications. It covers working at the device and machine level as well as the wider environments of plant and enterprise. It includes information on sensors and actuators; computer hardware; system interfaces; digital controllers that perform programs and protocols; the embedded applications software; data communications in distributed control systems; and the system routines that make control systems more user-friendly and safe to operate. This handbook is a single source reference in an industry with highly disparate information from myriad sources.BISAC SUBJECT HEADINGSTEC005050: TECHNOLOGY / Construction / Heating, Ventilation & Air ConditioningTEC008030: TECHNOLOGY / Electronics / Circuits / LogicTEC009060: TECHNOLOGY / Engineering / Industrial

Preface

Acknowledgements 1: Sensors and Actuators for Industrial Control

1.1 Sensors

1.2 Actuators

1.3 Valves

1.4 References

2: Computer Hardware for Industrial Control

2.1 Microprocessor Unit Chipset

2.2 Programmable Peripheral Devices

2.3 Application Specific Integrated Circuit (ASIC)

2.4 References

3: System Interfaces for Industrial Control

3.1 Actuator-Sensor Interface

3.2 Industrial Control System Interface Devices

3.3 Human-Machine Interface in Industrial Control

3.4 Highway Addressable Remote Transducer (HART) Field Communications

3.5 References

4: Digital Controllers for Industrial Control

4.1 Industrial Intelligent Controllers

4.2 Industrial Process Controllers

4.3 References

5: Application Software for Industrial Control

5.1 Boot Code for Microprocessor Unit Chipset

5.2 Real-Time Operating System

5.3 Real-Time Application System

5.4 References

6: Data Communications in Distributed Control System

6.1 Distributed Industrial Control System

6.2 Data Communication Basics

6.3 Data Transmission Control Circuits and Devices

6.4 Data Transmission Protocols

6.5 Data Link Protocols

6.6 Data Communication Protocols 6.7 References

7: System Routines in Industrial Control

7.1 Overviews

7.2 Power-on and Power-down Routines

7.3 Install and Configure Routines

7.4 Diagnostic Routines

7.5 Simulation Routines

7.6 References

Peng ZhangBeijing Normal University, PR of ChinaPeng Zhang is a Professor of Technical Physics at Beijing Normal University, Peoples Republic of China. After receiving his Ph.D. from the Chinese Academy of Sciences in 1988, Dr. Zhang has worked for almost 20 years in the United States, United Kingdom, and China with several industrial corporations and research institutions on industrial control technology and engineering numerical computations. He is currently working on the research and development of real-time embedded and concurrently distributed control and monitoring in varying applications including traffic signal control, remote-sensing control, power plant processes, geophysical prospecting, and parallel computing.